When to hire a Fractional CAIO

You do not hire a fractional Chief AI Officer because AI is interesting. You hire one because AI decisions are already landing on a desk that has another job, and the board still does not know who owns the outcome.

If that is not your problem, do not buy the retainer. Buy a readiness pass and a pilot, or wait. The job description is in what a fractional CAIO is.

Hire when these are true

The board asked for an AI plan and no one person will sign it. Opinions are cheap. An owner who will put their name on the quarterly spend is not.

Two or more vendors are in the building. Each has a champion. Nobody is keeping a single scoreboard for cost, risk, and what actually shipped.

Employees are already using public models on real work. That is not innovation. That is unsanctioned processing of customer and employee data. Someone has to decide which tools are allowed and which data never leaves the tenancy.

A pilot has been almost done for a quarter. The demo worked in the room. It has not survived a week of live tickets. You need a leader who has shipped production AI and will kill or finish the thing.

There is no baseline for the first workflow. No cycle time, no hours, no error rate. Without that number you cannot defend the next dollar.

You are big enough that the choices move money and small enough that a full-time CAIO does not pencil. In practice that is often $1M to $500M in revenue. A full-time AI executive is commonly $250K to $350K fully loaded and six months to hire. Most of those companies need 8 to 20 hours a month of senior judgment, not a new executive slot.

If three or more of those are true, you are in the hire window. Read how we staff it on Fractional AI Leadership.

Do not hire yet

You only want a strategy deck. That is a project. Hire consulting, get a scored report and a 12-month plan, and stop.

You already know the first workflow, the data, and the success metric. Skip leadership theater. Buy a fixed-scope build.

You already have an AI executive who owns the number. You may need delivery or a specialist, not a second chief.

The company is still deciding whether AI is a 2026 topic. A fractional CAIO will not create urgency the CEO does not have. Take the 3-minute AI Readiness Assessment and look at the gaps first.

Someone wants a mascot for the website. A title without a roadmap, a vendor log, and a killed-or-shipped list is branding. We will not take that engagement.

Timing relative to a consultant

A common sequence works. Assess for two to three weeks. Ship one pilot. Then decide if you still need an owner in the monthly rhythm. If the roadmap is clear and the CIO can run it, stop at consulting. If the CIO is already underwater, convert to a month-to-month CAIO retainer.

Do not hire both at once unless the consultant is delivering a build and the CAIO is the internal owner. Two strategy voices in the same month is how nothing ships.

What you should have ready before the first month

You do not need a data lake. You do need access to the people who run the messy process, a list of tools already in use, and whoever will sit in the monthly session with authority to say yes or no on vendors. If that person cannot be named, you are not hiring a CAIO. You are hiring a guest.

Also decide the first question you want answered in 30 days. Not "our AI vision." Something like: which two vendors we kill, which workflow we baseline, and who is allowed to paste company data into a public model.

What good looks like after 90 days

You have a scored baseline. You have a 90-day plan that has already been revised once. One pilot is live or honestly dead. Vendor and tool decisions are written down. The board pack has one owner and one spend line. If none of that is true, end the retainer. Month to month exists for that reason.

Talk to an engineer if you want a blunt read on whether you are in the hire window. We will tell you if the better next step is a pilot, a policy, or nothing.